Medical Imaging Techniques and Applications

caliPER is a software that enables blood-free parametric Patlak mapping for PET/MRI by using image-derived input functions to estimate Ki and cerebral metabolic rate of glucose.

This paper improves the temporal resolution of functional PET by integrating anatomical MRI knowledge to reduce noise and partial volume errors in brain metabolism mapping.

This paper develops personalized neural networks to detect transient neurotransmitter responses in PET images, showing improved sensitivity over traditional statistical methods.

This study validates kinfitr, an open-source R tool for PET kinetic modelling, showing high agreement with the commercial PMOD software in binding estimates and test-retest reliability.

Magia automates PET brain data processing, producing outcome measures consistent with manual methods despite anatomical differences in reference regions.

The paper introduces kinfitr, an R package for reproducible PET pharmacokinetic modelling with 14 kinetic models and tools for data analysis.

The paper compares continuous infusion and bolus plus infusion radiotracer protocols for PET to improve temporal resolution, achieving 16-second glucose response mapping in the human brain.

This paper introduces an automated PET motion correction method using multi-contrast MR co-registration, improving PET image quality in MR-PET scans.

This study evaluates test-retest reliability and convergent validity of (R)-[11C]PK11195 binding measures without arterial input function, finding poor reliability and weak correlations for most methods.

This study evaluates the accuracy and reliability of specific binding estimates for [11C]PBR28 using the SIME method, showing good precision and reliability for VS but variability in BPND.